Luis G. Crespo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Calibration of Radiation-Induced Cancer Risk Models According to Random Data.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

2021

A scenario optimization approach to reliability-based and risk-based design: Soft-constrained modulation of failure probability bounds.

[BibT_eX]

[DOI]

Roberto Rocchetta

Reliab. Eng. Syst. Saf., 2021

Interval Predictor Models for Robust System Identification*.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Robust Estimation of Sliced-Exponential Distributions⋆.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

A scenario optimization approach to reliability-based design.

[BibT_eX]

[DOI]

Roberto Rocchetta

Reliab. Eng. Syst. Saf., 2020

Forward and Inverse Approaches to Model Calibration for Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Convex Optimization Approach to Improving Suboptimal Hyperparameters of Sliced Normal Distributions.

[BibT_eX]

[DOI]

Brendon K. Colbert

Matthew M. Peet

Proceedings of the 2020 American Control Conference, 2020

2019

On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2019

A Scenario Optimization Approach to System Identification with Reliability Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

A Sum of Squares Optimization Approach to Uncertainty Quantification.

[BibT_eX]

[DOI]

Brendon K. Colbert

Matthew M. Peet

Proceedings of the 2019 American Control Conference, 2019

2017

Interval predictor models for data with measurement uncertainty.

[BibT_eX]

[DOI]

Márcio J. Lacerda

Proceedings of the 2017 American Control Conference, 2017

2015

Special Edition on Uncertainty Quantification of the AIAA Journal of Aerospace Computing, Information, and Communication.

[BibT_eX]

[DOI]

J. Aerosp. Inf. Syst., 2015

2014

Interval predictor models with a formal characterization of uncertainty and reliability.

[BibT_eX]

[DOI]

Daniel P. Giesy

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Bifurcation analysis using rigorous branch and bound methods.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2012

A Unifying Framework to Uncertainty Quantification of Polynomial Systems Subject to Aleatory and Epistemic Uncertainty.

[BibT_eX]

[DOI]

Daniel P. Giesy

Reliab. Comput., 2012

2009

An adaptive control technology for safety of a GTM-like aircraft.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2009

Adaptive control of hypersonic vehicles in the presence of modeling uncertainties.

[BibT_eX]

[DOI]

Travis E. Gibson

Anuradha M. Annaswamy

Proceedings of the American Control Conference, 2009

2003

Stochastic optimal control via Bellman's principle.

[BibT_eX]

[DOI]

Autom., 2003

Differential flatness and cooperative tracking in the Lorenz system.

[BibT_eX]

[DOI]

Sunil K. Agrawal

Proceedings of the American Control Conference, 2003

Optimal performance, robustness and reliability based designs of systems with structured uncertainty.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2003

2002

Effects of the control bounds in the stochastic optimal control problem.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2002

Nonlinear stochastic control via stationary probability density functions.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2002

2000

An iterative strategy for fixed final state optimal control problems via simple cell mapping.

[BibT_eX]

[DOI]